Resume

• 2011

  Bachelor's degree

  Physics

  The University of Chicago

• 2007

  High School

  Track and Field

  Hunter College High School

  Machine Learning

  Social Science Inquiry 1-3

  Markov Chains

  Martingales

  and Brownian Motion

  Molecular Modeling I

  Stochastic Simulation

  Advanced Quantum Mechanics

  Mathematical Physics

• Microsoft Office

  Machine Learning

  Stochastic Modeling

  C++

  Computational Chemistry

  Microsoft Excel

  Python

  Data Cleaning

  LaTeX

  Data Analysis

  Scientific Writing

  Research

  Experimental and Computational Studies on the Mechanism of Zwitterionic Ring-Opening Polymerization of Δ-Valerolactone with N-Heterocyclic Carbenes

  Robert M. Waymouth

  Hans W. Horn

  James L. Hedrick

  Julia E. Rice

  Gavin O. Jones

  Young A. Chang

  Experimental and Computational Studies on the Mechanism of Zwitterionic Ring-Opening Polymerization of Δ-Valerolactone with N-Heterocyclic Carbenes

  Robert M. Waymouth

  James L. Hedrick

  Julia E. Rice

  Hans W. Horn

  Young A. Chang

  Gavin O. Jones

  Journal of Physical Chemistry B

  N-Heterocyclic Carbene-Catalyzed Ring Opening Polymerization of ε-Caprolactone with and without Alcohol Initiators: Insights from Theory and Experiment

  Acharya

  Jane Street

  IBM

  Focus262 Advisors

  Future of Humanity Institute (Oxford University)

  Alameda Research Group

  Foundational Research Institute

  Foundational Research Institute

  Center for Security and Emerging Technology

  Animal Charity Evaluators

  • Helped develop trading strategies and tune trading models\n• Identified major risks and suggested mitigation strategies \n• Rapidly interpreted and responded to market events

  Alameda Research Group

  Future of Humanity Institute (Oxford University)

  Oxford

  United Kingdom

  Research on AI governance and priorities for the long-term future.

  Research Scholar

  • Designed and performed simulations to model a polymerization reaction using GAMESS quantum chemistry software\n• Interpreted computational and experimental data in collaboration with chemists at Stanford University to discover methods for improving polymer length\n• Coauthored a paper

  and contributed ideas to a second

  accepted to the Journal of Physical Chemistry

  IBM

  Affiliated Researcher

  • Reviewed research in game theory and political science to identify determinants of the success and failure of arms control measures\n• Used these key factors to compare existing technologies

  particularly nuclear weapons and biotechnology

  to potential developments in AI\n• Evaluated and suggested mechanisms for international AI governance

  Foundational Research Institute

  Focus262 Advisors

  Jersey City

  NJ

  • Built Python programs to recommend high-return portfolios that optimize a chosen risk criterion \n• Used Python and Excel to collect and clean market data and backtest generated trading strategies

  Quantitative Analysis Intern

  • Evaluated charities for the 2017 evaluation process: interviewed charity leadership members

  assessed charities on ACE’s metrics

  wrote and edited several sections of ACE’s reviews

  and suggested charities for Top and Standout status\n• As primary critic for ACE’s 2017 leafleting report

  helped to weigh and summarize the evidence for animal advocacy leaflets

  including a meta-analysis of leafleting studies\n• Contributed writing

  editing

  research

  and organization to several other research team projects

  including a response to a recent critique of ACE

  Animal Charity Evaluators

  Center for Security and Emerging Technology

  Washington D.C. Metro Area

  Coauthored a report on Chinese government spending on research and development in AI. Available at https://cset.georgetown.edu/wp-content/uploads/Chinese-Public-AI-RD-Spending-Provisional-Findings-2.pdf

  Visiting Researcher

  • Developed promising new trading strategies inspired by academic literature and backed up by large-scale data analysis\n• Generated statistics and graphs in Excel to analyze strategies quantitatively and qualitatively; explained trends in data and reasons for strategies' success\n• Built tools in Excel to suggest actions in different market scenarios

  Trader Intern

  Greater New York City Area

  Jane Street

  New York

  NY

  • Studied the history and theory of arms control

  and its application to emergent technologies \n• Considered variations on a game-theoretic model of AI development choices\n• Edited researchers’ drafts and suggested directions for further analysis

  Research Intern

  Foundational Research Institute